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TU Berlin

Inhalt des Dokuments

Steven Schmidt

Q&U
Lupe

Research Field

  • Quality of Experience (QoE) for Cloud Gaming Services
  • Engagement in Virtual Reality

Research Topics

  • Identification and quantification of perceptual quality dimensions for gaming QoE
  • Prediction of gaming QoE based on encoding and network parameters
  • Classification of game content
  • Crowdsourcing for gaming evaluation

Biography

Steven Schmidt received his M.Sc. degree in Electrical Engineering at the TU Berlin with a major in Communication Systems. Since 2016 he is employed as a research assistant at the Quality and Usability Lab where he is working towards a PhD in the field of Quality of Experience in Mobile Gaming. 

Projects

ITU-T SG12 Activities:

  • ITU-T Rec. G.1032 - Influence Factors on Gaming Quality of Experience (2017)
  • ITU-T Rec. P.809 - Subjective Evaluation Methods for Gaming Quality (2018)
  • ITU-T Rec. G.1072 - Opinion Model Predicting Gaming QoE for Cloud Gaming Services (2020)

Address

Quality and Usability Lab
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel:  +49 151 12044969

Publications

Influence of Network Delay in Virtual Reality Multiplayer Exergames: Who is actually delayed?
Zitatschlüssel kojic2019b
Autor Kojic, Tanja and Schmidt, Steven and Möller, Sebastian and Voigt-Antons, Jan-Niklas
Buchtitel 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)
Seiten 1–3
Jahr 2019
ISSN 2372-7179
DOI 10.1109/QoMEX.2019.8743342
Ort Berlin, Germany
Adresse Piscataway, NJ, USA
Monat jun
Notiz Online
Verlag IEEE
Serie QoMEX
Wie herausgegeben Fullpaper
Zusammenfassung One of the fields where Virtual Reality (VR) is finding a potentially growing market is in the combination of exercising and gaming - also called exergaming. When it comes to competition in gaming, is important to investigate how different levels of delay influence overall quality of experience (QoE) in VR multiplayer exergames. Therefore, we conducted a subjective experiment using a VR multiplayer exergame. The experimental setup consisted of a VR application coupled with a rowing ergometer, allowing races between the user and an artificially created opponent that is following the player with a similar speed and keeping the race tight. To investigate the influence of the delay, on both user's and opponent's side three levels of network delay were introduced (30ms, 100ms, and 500ms) and mixed throughout different conditions. After each session, participants rated perceived flow, sense of presence, and the degree to which they have noticed the delay in their or the opponent's system. Interestingly, results show different perception of delay and QoE depending on user's own delay. Participants perceived the opponent's player as being delayed even if only the player itself had network delay along with significantly lower rating of QoE only when their delay was high.
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